Achieving Maximum Sum Spectral Efficiency with Channel Estimation

Abstract

The major challenges faced by the mobile users are the poor quality of communication and the fast battery drainage. The varying channel characteristics in wireless communication is the main reason for huge signal drops and poor signal quality. The channel estimation plays an important role and is crucial for determining the accuracy of the system. In this paper, the two channel estimation techniques, namely least square (LS) and minimum mean square error (MMSE) are analyzed for multi-antenna communication scenario. The different practical channel scenarios are considered to evaluate the performance of the proposed system in terms of average sum spectral efficiency (SE). It is observed that the maximum average sum SE is obtained with MMSE channel estimation for Rician fading channels. The impact of varying channel statistics with spatial correlation is also evaluated for different pilot reuse factors. Further, the comparison of different receive combiners based on the channel estimates for signal detection is performed in terms of computational complexity.